FACE IMAGE QUALITY EVALUATING METHOD AND APPARATUS AND COMPUTER READABLE STORAGE MEDIUM USING THE SAME

    公开(公告)号:US20210192184A1

    公开(公告)日:2021-06-24

    申请号:US16805827

    申请日:2020-03-01

    Abstract: The present disclosure provides a face image quality evaluating method as well as an apparatus and a computer-readable storage medium using the same. The method includes: obtaining a face image; determining a local bright area in the face image, wherein the local bright area is formed by an illumination source in the face image, and the brightness of the local bright area is greater than the brightness of a face area in the face image; removing the local bright area from the face image; and evaluating a quality of the face image based on the face image having removed the local bright area. In the above-mentioned manner, the present disclosure improves the accuracy of the quality evaluation of the face image.

    LOCALIZATION METHOD AND HELMET AND COMPUTER READABLE STORAGE MEDIUM USING THE SAME

    公开(公告)号:US20210182633A1

    公开(公告)日:2021-06-17

    申请号:US17012016

    申请日:2020-09-03

    Abstract: The present disclosure provides a localization method as well as a helmet and a computer readable storage medium using the same. The method includes: extracting first feature points from a target image; obtaining inertial information of the carrier, and screening the first feature points based on the inertial information to obtain second feature points; triangulating the second feature points of the target image to generate corresponding initial three-dimensional map points, if the target image is a key frame image; performing a localization error loopback calibration on the initial three-dimensional map points according to at least a predetermined constraint condition to obtain target three-dimensional map points; and determining a positional point of the specific carrier according to the target three-dimensional map points. In this manner, the accuracy of the localization of a dynamic object such as a person when moving can be improved.

    ROBOT MOTION CONTROL METHOD AND APPARATUS AND ROBOT USING THE SAME

    公开(公告)号:US20210154853A1

    公开(公告)日:2021-05-27

    申请号:US16734400

    申请日:2020-01-05

    Abstract: The present disclosure provides a robot motion control method as well as an apparatus and a robot using the same. The method includes: obtaining geometric parameter(s) of a target step, where the geometric parameters comprise a step width and a step height of the target step; determining at least two time-displacement coordinates and a velocity vector corresponding to each time-displacement coordinate based on the geometric parameters; generating a motion trajectory by fitting the at least two time-displacement coordinates and the corresponding velocity vectors; and controlling feet of the robot to move based on the motion trajectory. In this manner, the feet of the robot can be prevented from colliding violently with the step during going up the step so as to improve the safety and stability.

    ROBOT PATH PLANNING METHOD AND APPARATUS AND ROBOT USING THE SAME

    公开(公告)号:US20210154835A1

    公开(公告)日:2021-05-27

    申请号:US16734402

    申请日:2020-01-05

    Abstract: The present disclosure provides a robot path planning method as well as an apparatus and a robot using the same. The method includes: obtaining a grid map and obtaining a position of obstacle and a position of track in the grid map; determining a cost of grids of the grid map based on the position of obstacle and the position of track; generating a grid cost map based on the cost of the grids and the grid map; and planning a global path of the robot from a current position to a destination position based on the grid cost map. In this manner, it effectively integrates free navigation and track navigation, thereby improving the flexibility of obstacle avoidance and ensuring the safety of obstacle avoidance of the robot.

    FACE IDENTIFICATION METHOD AND TERMINAL DEVICE USING THE SAME

    公开(公告)号:US20210056295A1

    公开(公告)日:2021-02-25

    申请号:US16817554

    申请日:2020-03-12

    Abstract: The present disclosure provides a face identification method and a terminal device using the same. The method includes: obtaining a to-be-detected image; performing a brightness enhancement process on the to-be-detected image based on a preset second calculation method to generate a to-be-identified face image; obtaining a first channel value of each channel corresponding to each pixel in the to-be-identified face image; performing another brightness enhancement process on the to-be-identified face image based on each first channel value and a preset first calculation method to obtain a target to-be-identified face image; and performing a face identification process on the target to-be-identified face image to obtain an identification result. Through the above-mentioned scheme, an enhanced face identification manner for the images of low brightness is provided.

    LASER DATA CALIBRATION METHOD AND ROBOT USING THE SAME

    公开(公告)号:US20200209365A1

    公开(公告)日:2020-07-02

    申请号:US16396693

    申请日:2019-04-28

    Abstract: The present disclosure provides a laser data calibration method and robot using the same. The method includes: obtaining a pose of a movable device; determining a pose of the lidar based on the pose of the movable device and a transformation relationship between the movable device and the lidar: determining an instantaneous speed of the lidar based on the pose of the lidar at two adjacent time points; determining a delay time of an collection time of one frame of raw laser data obtained through the lidar by scanning for one round with respect to an collection time of a first raw laser data: and obtaining a calibration data of the raw laser data based on the instantaneous speed, tire delay time, and the raw laser data. Through the above-mentioned method, the calibration of the raw laser data can be realized.

    SERVO CALIBRATION METHOD AND APPARATUS AND ROBOT USING THE SAME

    公开(公告)号:US20200206935A1

    公开(公告)日:2020-07-02

    申请号:US16508335

    申请日:2019-07-11

    Abstract: The present disclosure provides a servo calibration method as well as an apparatus and a robot using the same. The method includes: obtaining data of a position sensor on a motor shaft of the servo; obtaining data of a position sensor on an output shaft of the servo; determining whether a clutch protection has been performed on the servo based on data of the position sensor on the motor shaft and data of the position sensor on the output shaft; and calibrating a position of the motor shaft based on the data of the position sensor on the output shaft, if the clutch protection has been performed on the servo. Through the present disclosure, the problem in the prior art that the process of the calibration is cumbersome can be solved.

    ELECTRONIC BUILDING BLOCK AND BUILDING BLOCK KIT HAVING THE SAME

    公开(公告)号:US20200161803A1

    公开(公告)日:2020-05-21

    申请号:US16445243

    申请日:2019-06-19

    Abstract: An electronic building block includes a first side and a second side, a first magnet fixed to the first side and including a number of first magnet segments, a second magnet fixed to the second side and including a number of second magnet segments, a first power contact, a second power contact and a first communication contact arranged on the first side; and a third power contact, a fourth power contact and a second communication contact arranged on the second side and respectively coming into contact with the first power contact, the second power contact, and the first communication contact when the first magnet segments of one of two electronic building blocks is connected to the second magnet segments of the other of two electronic building blocks.

    Gesture recognition method, device and computer-readable storage medium

    公开(公告)号:US12277801B2

    公开(公告)日:2025-04-15

    申请号:US17566734

    申请日:2021-12-31

    Abstract: A gesture recognition method includes: acquiring a target image containing a gesture to be recognized; inputting the target image to a gesture recognition model that has a first sub-model, a second sub-model, and a third sub-model, the first sub-model is to determine a gesture category and a gesture center point, the second sub-model is to determine an offset of the gesture center point, and the third sub-model is to determine a length and a width of a bounding box for the gesture to be recognized; acquiring an output result from the gesture recognition model, the output result includes the gesture category, the gesture center point, and the offset of the gesture center point, and the length and the width of the bounding box; and determining the gesture category and a position of the bounding box of the gesture to be recognized according to the output result.

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